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Hubert Emotion Finetuned Gtzan Efficient
Audio emotion classification model fine-tuned on the GTZAN dataset based on Hubert_emotion, with 65% accuracy
Downloads 15
Release Time : 7/3/2023
Model Overview
This model is a fine-tuned version of the Hubert_emotion architecture on the GTZAN music dataset, primarily used for music emotion classification tasks
Model Features
Efficient Fine-tuning
Efficiently fine-tuned on the GTZAN dataset, improving music emotion classification performance
Hubert Architecture
Based on the advanced Hubert speech representation learning architecture
Model Capabilities
Music Emotion Classification
Audio Feature Extraction
Use Cases
Music Analysis
Music Emotion Recognition
Classify emotions in music segments (e.g., happy, sad, etc.)
Achieves 65% accuracy on the GTZAN evaluation set
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